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La Growth Machine
Google Gemini AI

Connect La Growth Machine and Google Gemini AI

Explore ready-made La Growth Machine and Google Gemini AI templates and start automating in minutes.

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Create a custom workflow

Integrate La Growth Machine with Google Gemini AI and automate the work that moves between them — no code required.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

La Growth Machine
Trigger: Watch Accepted Linkedin Contact Request
Google Gemini AI
Action: Select an action
1. Select a trigger

  • Triggers when a lead accepted your identity's connection request on LinkedIn.

  • Triggers when a lead clicked on a link in one of your emails. Click tracking must be turned on.

  • Triggers when a Lead is marked as Converted (replied on any channel, or marked as converted manually).

  • Triggers when the lead finishes a campaign.

  • Triggers when a Lead is enriched (LinkedIn profile, Pro Email Found, Phone found...)

  • Triggers when a lead status in a campaign is changed.

  • Triggers when a new message from Linkedin or Email arrives

  • Triggers when a new lead is created in an audience or an existing lead is added to a new audience.

  • Triggers when a lead opened one of your emails.

  • Triggers when a lead replied to one of your emails.

  • Triggers when a lead replied to one of your LinkedIn messages or an invite note.

  • Triggers when an email is sent to a lead.

  • Triggers when a LinkedIn contact request is sent to a lead.

  • Triggers when a LinkedIn message is sent to a lead.

  • Triggers when a lead's LinkedIn profile is visited.

2. Select an action

  • Creates a new file search store.

  • Deletes a file from a selected files search store.

  • Deletes a file search store.

  • Extracts structured data from text or files.

  • Generates a response for the provided input.

  • Generates a video using the general purpose Gemini model family.

  • Generates a video using the Veo models.

  • Generates an image using Gemini's image generation capabilities.

  • Generates an image using the imagen models.

  • Generate vector representations (embeddings) for the text or file you provide.

  • Generate high-quality, stereo audio from text prompts or from images.

  • Generates an audio file based on text input and settings.

  • Returns detailed information about a file in a file search store.

  • Retrieves details about a file search store.

  • Retrieves the full details of a single interaction (e.g. from a deep research agent).

  • Performs an arbitrary authorized API call.

  • Runs a deep research agent by Gemini.

  • Generates text responses from prompts without requiring an account or connection.

  • Uploads a file so it can be used in the completions or in file search stores.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between La Growth Machine and Google Gemini AI.

Create a file search store
Creates a new file search store.
Action
Create or Update a Lead to an Audience
Creates or updates a lead in a specified LGM Audience.
Action
Delete a file in a file search store
Deletes a file from a selected files search store.
Action
Delete a file search store
Deletes a file search store.
Action
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
Generate a video
Generates a video using the general purpose Gemini model family.
Action
Generate a video (Veo) (deprecated)
Generates a video using the Veo models.
Action
Generate an image
Generates an image using Gemini's image generation capabilities.
Action
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FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.